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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 15167
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    Explanations

    statements related to statistics and records

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to significant metrics or statistics regarding confidence and approval ratings

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    akia
    -0.67
     surn
    -0.65
    nington
    -0.65
     faithfully
    -0.64
     WATCHED
    -0.64
     congratulated
    -0.64
    sbm
    -0.63
    pard
    -0.63
    quartered
    -0.62
     resemb
    -0.62
    POSITIVE LOGITS
     lows
    1.07
     highs
    1.02
     levels
    0.95
     peak
    0.93
     peaks
    0.93
    risis
    0.89
     heights
    0.89
     lowest
    0.86
    Hig
    0.83
     saturation
    0.81
    Activations Density 0.271%

    No Known Activations